Mantzaris Alexander V, Chen Yuh-Haur, Domenikos George-Rafael, Choudur Lakshminarayan
Department of Statistics and Data Science, University of Central Florida, 4000 University Bvld, Orlando, 32816, USA.
Department of Applied Mathematics and Theoretical Physics, Centre of Mathematical Sciences, University of Cambridge, Wilbeforce Rd, Cambridge, CB3 0WA, UK.
Sci Rep. 2024 Aug 19;14(1):19188. doi: 10.1038/s41598-024-70029-x.
Segregation is a threat to the aspirations of producing a cohesive society and modelling its dynamics can be done in order to help design preventative measures. This work explores the question of whether the network topologies of urban spaces can affect the pace at which populations can become segregated. The simulation dynamics employed augment the canonical Schelling model in such a way that it also captures the affinity for agents to prefer denser regions which also offer sufficient local homogeneity. It is shown that different networks synthetically generated and from real city maps can alter the rate of segregation. The results also show that using the entropy trace on the distribution of agent edge degree across all agents correlates with the segregation reinforcing the relevance of physics inspired modeling of social systems. This investigation shows that it is possible to explore and select network arrangements which can be less conducive towards segregation movements during the stages of urban planning so that the rate is reduced. An additional finding is that the entropic measure is closely associated with the common statistic for such modeling efforts.
隔离对构建一个凝聚力强的社会的愿景构成威胁，为了帮助设计预防措施，可以对其动态进行建模。这项工作探讨了城市空间的网络拓扑结构是否会影响人口隔离的速度这一问题。所采用的模拟动态以一种方式扩展了经典的谢林模型，即它还捕捉到了主体对更密集区域的偏好，这些区域也提供了足够的局部同质性。结果表明，综合生成的不同网络以及来自真实城市地图的网络可以改变隔离速度。结果还表明，对所有主体的主体边度分布使用熵轨迹与隔离相关，这加强了受物理启发的社会系统建模的相关性。这项研究表明，在城市规划阶段，可以探索和选择对隔离运动不利的网络布局，从而降低隔离速度。另一个发现是，熵测度与这类建模工作的常用统计量密切相关。
